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How to use the 11 specialized AI agents and the ReAct loop.
Passed 14 of 21 test cases with the skill, and 3 of 21 without it.
and 15 more in the full report
12 fixed3 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
When submitting a POST request to create an audit job at port 8000, what field key specifies the audit type?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies scan_type with value full | Missed | Passed |
The instructions your model reads when the skill loads.
How to use the 11 specialized AI agents and the ReAct loop.
from agents.react_agent import ReActAgent, ReActAgentConfig
# Create agent with persona
config = ReActAgentConfig(
max_iterations=10,
use_vm=True,
risk_level=1, # NORMAL
)
agent = ReActAgent(config, persona="reconnaissance")
# Run against target
result = agent.run(target="example.com", objective="Enumerate all subdomains and open ports")
# Generate report
print(agent.generate_report(result))
IDLE → PLANNING → EXECUTING → OBSERVING → REFLECTING → COMPLETED
│ │ │ │
└───────────┴───────────┴────────────┘
(Retry Loop)
# Reconnaissance
deep-recon --target example.com --output recon.json
# Exploitation
test cases passed, vs 3 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.